A recent report analyzing over 536 billion global AI transactions between February and December 2024 has revealed a staggering 3,465% year-over-year surge in AI/ML traffic.
Enterprise adoption of AI tools is growing rapidly, with businesses transmitting over 3,624 TB of data to AI platforms. While this transformation drives productivity and innovation, it also elevates security risks significantly.
Enterprises blocked nearly 60% of AI/ML transactions to mitigate threats such as data leaks, unauthorized access, and compliance breaches.
Cybercriminals are increasingly exploiting AI’s capabilities to accelerate attacks, pushing organizations to prioritize real-time monitoring, data protection, and a Zero Trust security framework.
India, emerged as the leader in APAC for enterprise AI usage, contributing 36.4% of the region’s traffic and ranking second globally behind the U.S.
ChatGPT dominated AI transactions but was also the most-blocked application, reflecting concerns over data privacy.
Other widely blocked platforms include Grammarly, Microsoft Copilot, and QuillBot.
Agentic AI models and open-source platforms like DeepSeek are accelerating innovation but are also empowering threat actors.
Sectors such as Finance & Insurance, Manufacturing, and Services lead AI adoption, yet each faces unique regulatory and cybersecurity challenges.
The rise of AI-powered phishing, deepfake fraud, and fake AI platforms highlights a new wave of sophisticated threats.
Malware campaigns like "Flora AI" are already exploiting enterprise interest in generative AI to spread infostealers, underlining the urgent need for continuous risk assessments, automated segmentation, and predictive breach detection across digital ecosystems.
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